P7 Office, WinWork, Zaymer: How AI Agents Reduced Response Time to Minutes and Cut Workload by 40%

In 2025, AI agents became widely adopted in customer service, demonstrating impressive results. P7 Office reduced response time to 60 seconds, WinWork handled a twofold increase in inquiries without expanding staff, and Zaymer successfully automated its debt collection service, treating the AI agent as a full-fledged employee.

If your support is overwhelmed with repetitive requests or you're losing customers due to long waiting times, this is a ready-made case for automation. Message our manager — he will run a free analysis of your business and niche and show exactly how to get a real business result from an AI agent in your case, not a nice-looking picture. Message the manager

P7 Office: Supporting 10 Million Users and a Generation AI Awards 2024 Finalist

Initial Data. The Russian office suite P7 Office faced an overloaded traditional support channels due to its audience growing to 10 million users. The goal was to ensure fast and accurate handling of requests without a proportional increase in staff.

Result. The implementation of an AI agent from Wikibot led to a reduction in average response time to less than 60 seconds. The rate of correct answers exceeded 85%, and the workload on human operators decreased by 40%. Since its launch, the agent has processed over 28,000 inquiries.

What this means in terms of ROI. Fast and accurate responses directly impact customer satisfaction and loyalty, which is critical for a growing product. A 40% reduction in operator workload allows for significant savings on payroll or reallocation of resources to more complex and valuable tasks requiring human involvement.

WinWork: Twofold Increase in Inquiries with Unchanged Support Staff

Initial Data. The WinWork platform for automating work with self-employed individuals faced an increase in support inquiries from 5,000 to over 10,000 per month. The company wanted to automate routine tasks and provide 24/7 support without increasing staff.

Result. An AI agent from Wikibot was integrated with the UseDesk ticketing system and took over the processing of typical requests. As a result, despite a twofold increase in inquiry volume, the support staff remained the same, and the Customer Satisfaction Index (CSI) remained high at 93%.

What this means in terms of ROI. Maintaining staff despite a twofold increase in workload means the AI agent effectively performed work equivalent to at least a 100% increase in support employees, leading to direct savings on salaries and associated costs. High CSI confirms that the quality of support was not compromised.

PAO MFC "Zaymer": AI Agent as a New Employee in Debt Collection

Initial Data. The largest online lending platform "Zaymer" was looking for ways to optimize its debt collection service. The task was to effectively automate routine processes related to customer interaction.

Result. The company implemented an AI agent from Wikibot in its debt collection service, treating it as a new employee trained to work at the level of an experienced specialist. This allowed for the automation of some processes requiring interaction with borrowers.

What this means in terms of ROI. Automation in such a sensitive segment as debt collection allows for standardization of processes, reduction of human error, lower operational costs, and increased overall efficiency, as well as ensuring more consistent and correct customer interaction.

Source: sostav.ru

How AI Agents are Transforming Customer Service

These cases demonstrate that AI agents have moved beyond being mere chatbots and have become full-fledged assistants capable of integrating into complex business processes and making decisions. Their implementation allows for:

• Reduced response time. Automated processing of typical inquiries significantly speeds up reaction to customer requests.
• Reduced staff workload. Less routine for employees, more time for complex and non-standard tasks.
• 24/7 support. Agents are available around the clock, increasing customer satisfaction.
• Scalable support without increasing staff. Ability to handle growing inquiry volumes without a proportional increase in costs.
• Improved quality and accuracy of responses. Reduction in errors and standardization of information.

Want to know how AI agents can transform your customer service? Message the manager. We will analyze your processes for free and show the potential for implementation.